Medical Data Visualization via a Pervasive Multi-Agent Platform

2011 ◽  
pp. 331-344
Author(s):  
Antonio Coronato ◽  
Luigi Gallo ◽  
Giuseppe De Pietro
Keyword(s):  
Medical Data ◽  
Volume Data ◽  
High Quality ◽  
Software Infrastructure ◽  
Pervasive Healthcare ◽  
Medical Practitioners ◽  
Agent Platform ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Pervasive Access

Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that provides users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his or her physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.

Medical Data Visualization via a Pervasive Multi-Agent Platform

2009 ◽  
Vol 1 (4) ◽  
pp. 68-81
Author(s):  
Antonio Coronato ◽  
Luigi Gallo ◽  
Giuseppe De Pietro
Keyword(s):  
Pervasive Computing ◽  
Medical Data ◽  
Volume Data ◽  
Software Infrastructure ◽  
Pervasive Healthcare ◽  
Medical Practitioners ◽  
Agent Platform ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Pervasive Access

Pervasive healthcare is the field of application emerging from the combination of healthcare with pervasive computing, which is the computing paradigm that provides users with access to services in a transparent way, wherever they are and whichever their interacting device is. In this paper, a software infrastructure for pervasive healthcare is presented. Such an infrastructure aims at supporting medical practitioners with advanced pervasive access to medical data, which is also context-aware in the sense that the modality to fruit data depends on the device used by the operator and on his or her physical position within the environment. The paper also describes a service for high quality 3D rendering of medical volume data, which takes advantage of the software infrastructure to distribute the computational load upon the devices available in the environment in a completely transparent way to users.

scholarly journals Enabling scalable and fault-tolerant multi-agent systems by utilizing cloud-native computing

2021 ◽  
Vol 35 (1) ◽  
Author(s):  
Stefan Dähling ◽  
Lukas Razik ◽  
Antonello Monti
Keyword(s):  
Large Scale ◽  
Performance Metrics ◽  
Fault Tolerant ◽  
Multi Agent Systems ◽  
Agent Platform ◽  
Agent Systems ◽  
Iot Applications ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Container Orchestration

AbstractMulti-agent systems (MAS) represent a distributed computing paradigm well suited to tackle today’s challenges in the field of the Internet of Things (IoT). Both share many similarities such as the interconnection of distributed devices and their cooperation. The combination of MAS and IoT would allow the transfer of the experience gained in MAS research to the broader range of IoT applications. The key enabler for utilizing MAS in the IoT is the ability to build large-scale and fault-tolerant MASs since IoT concepts comprise possibly thousands or even millions of devices. However, well known multi-agent platforms (MAP), e. g., Java Agent DE-velopment Framework (JADE), are not able to deal with these challenges. To this aim, we present a cloud-native Multi-Agent Platform (cloneMAP) as a modern MAP based on cloud-computing techniques to enable scalability and fault-tolerance. A microservice architecture is used to implement it in a distributed way utilizing the open-source container orchestration system Kubernetes. Thereby, bottlenecks and single-points of failure are conceptually avoided. A comparison with JADE via relevant performance metrics indicates the massively improved scalability. Furthermore, the implementation of a large-scale use case verifies cloneMAP’s suitability for IoT applications. This leads to the conclusion that cloneMAP extends the range of possible MAS applications and enables the integration with IoT concepts.

scholarly journals Content online and the end of public media? The UK, a canary in the coal mine?

2011 ◽  
Vol 33 (8) ◽  
pp. 1202-1219 ◽  
Author(s):  
Richard Collins
Keyword(s):  
Business Model ◽  
Business Models ◽  
Direct Payment ◽  
Publicly Funded ◽  
High Quality ◽  
Online Delivery ◽  
Local Newspapers ◽  
Public Media ◽  
The Uk ◽  
Pervasive Access

Online delivery of content has changed media advertising markets, undermining the business model which has underpinned provision of ‘public media’. Three business models have sustained mass media: direct payment for content, payment for advertising and state subsidy, and the author argues, contrary to others’ claims, that advertising finance has made possible production and provision of high-quality, pluralistic and affordable public media. In consequence, substitution of the internet as an advertising medium has undermined the system of finance which, in the UK and societies like it, sustained public media. Global advertising revenues have both fallen and been redistributed, though to differing degrees in different countries, with particularly deleterious effects on local newspapers. Prices have risen, original content production has fallen and reversion to a direct payment-for-content business model is pervasive. And this despite the growth of new entrant online media and established publicly funded media (notably public service broadcasters) resulting in the likelihood of a continued general worsening of affordable and pervasive access to high-quality and diverse public media.

scholarly journals Control Prosody using Multi-Agent System

2014 ◽  
Vol 2 (4) ◽  
pp. 49-56
Author(s):  
Kenji Matsui ◽  
Kenta Kimura ◽  
Alberto Pérez
Keyword(s):  
User Interface ◽  
Frequency Conversion ◽  
Control Unit ◽  
Mapping Method ◽  
Linear Mapping ◽  
Motion Sensor ◽  
Agent Platform ◽  
Perceptual Evaluation ◽  
Pitch Frequency ◽  
Multi Agent

Persons who have undergone a laryngectomy have a few options to partially restore speech but no completely satisfactory device. Even though the use of an electrolarynx (EL) is the easiest way for a patient to produce speech, it does not produce a natural tone and appearance is far from normal. Because of that and the fact that none of them are hands-free, the feasibility of using a motion sensor to replace a conventional EL user interface has been explored. A mobile device motion sensor with multi-agent platform has been used to investigate on/off and pitch frequency control capability. A very small battery operated ARM-based control unit has also been developed to evaluate the motion sensor based user-interface. This control unit is placed on the wrist and the vibration device against the throat using support bandage. Two different conversion methods were used for the forearm tilt angle to pitch frequency conversion: linear mapping method and F0 template-based method A perceptual evaluation has been performed with two well-trained normal speakers and ten subjects. The results of the evaluation study showed that both methods are able to produce better speech quality in terms of the naturalness.

Extracting and Customizing Information Using Multi-Agents

Web Mining ◽  
2011 ◽  
pp. 228-252 ◽  
Author(s):  
Mohamed Salah Hamdi
Keyword(s):  
Main Idea ◽  
Complex Environments ◽  
Time Data ◽  
Client Server ◽  
Windows Nt ◽  
Distributed Object ◽  
Time Space ◽  
Multi Agent ◽  
Information Customization ◽  
Pervasive Access

Rapidly evolving network and computer technology, coupled with the exponential growth of the services and information available on the Internet, has already brought us to the point where hundreds of millions of people should have fast, pervasive access to a phenomenal amount of information, through desktop machines at work, school and home, through televisions, phones, pagers, and car dashboards, from anywhere and everywhere. The challenge of complex environments is therefore obvious: software is expected to do more in more situations, there are a variety of users (Power/Naive, Techie/ Financial/Clerical, ...), there are a variety of systems (Windows/NT/Mac/Unix, Client/Server, Portable, Distributed Object Manager, Web, ...), there are a variety of interactions (Real-time, Data Bases, Other Players, ...), and there are a variety of resources and goals (time, space, bandwidth, cost, security, quality, ...). To cope with such environments, the promise of information customization systems is becoming highly attractive. In this chapter we discuss important problems in relationship to such systems and smooth the way for possible solutions. The main idea is to approach information customization using a multi-agent paradigm.

Applying Dynamic Causal Mining in Health Service Management

2011 ◽  
pp. 233-252
Author(s):  
Yi Wang
Keyword(s):  
Information Technologies ◽  
Service Management ◽  
Causal Relation ◽  
Medical Data ◽  
Causal Knowledge ◽  
Data Repositories ◽  
Medical Practitioners ◽  
Actionable Knowledge ◽  
Significant Difference

This article describes an application that illustrates the role of data mining technology in identifying hidden causal knoledge from health and medical data repositories. Across the health care and medical enterprises, a wide variety of data is being generated at a rapid rate. Current information technologies tends to focus on a more statical side of causal knowledge and do not address the dynamic causal knowledge. This article shows that the dynamic causal relation data can be captured for treatment, payment, operations purposes and administrative directed insights. Accessing this currently unrealized knowledge potential would enable the delivery of actionable knowledge to medical practitioners, healthcare system managers, policy planners and even patients to make a significant difference in overall healthcare.

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